Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. As our Quantum Computing Research Lead, you'll architect next-gen algorithms and drive breakthroughs that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology in a collaborative, innovation-driven environment.
We're seeking a visionary leader to spearhead our quantum initiatives, bridging theoretical physics with practical applications. You'll collaborate with Nobel laureates and industry disruptors, working in state-of-the-art labs equipped with cutting-edge quantum processors. Our Austin campus offers a unique blend of academic rigor and entrepreneurial energy.
Competitive compensation includes equity grants, comprehensive benefits, and a relocation package for top-tier talent. Join us in building the computational infrastructure that will power the next decade of human advancement.
Responsibilities
- Lead quantum algorithm development for optimization, cryptography, and simulation applications
- Design and execute experimental protocols on 100+ qubit quantum processors
- Collaborate with cross-functional teams to translate quantum advantages into commercial solutions
- Publish research in top-tier journals and present at international conferences
- Mentor a team of quantum physicists and computer scientists
- Secure $5M+ in government and private research grants
- Develop quantum error correction methodologies for practical deployment
- Establish partnerships with academic institutions and quantum hardware providers
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 8+ years of experience
- Published research in Nature/Science journals on quantum algorithms or error correction
- Proven track record of securing DOE/NASA/NIST grants
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Experience leading teams of 10+ researchers in high-stakes environments
- Deep understanding of quantum decoherence and fault-tolerant architectures
- Strong background in machine learning for quantum systems
- Patents or pending patents in quantum computing applications